CHALLENGE ACTIVITY 402562.2600368.qx3zqy7 8.1.3: Hypothesis testing for two population means (one-tailed t-test). Jump to level 1 A sales manager for a large department store believes that customer spending per visit with a sale is lower than customer spending without a sale, and would like to test that claim. A simple random sample of customer spending is taken from without a sale and with a sale. The results are shown below. Without sale With sale Mean 82.904 71.316 Variance 1984.95 1826.41 Observations 200 150 Hypothesized Mean Difference 0 df 328 t Stat -2.465 P(T<=t) one-tail 0.0071 t Critical one-tail -1.65 P(T<=t) two-tail 0.0142 t Critical two-tail -1.967 -3 -2 3 Confidence Level 99% P= Ex: 1.234 Samples from without sale: n₁ = Ex: 9 t= Samples from with sale: n₂ = Point estimate for spending without sale: 1 = Ex: 1.234 Point estimate for spending with sale: ₂ =

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Hypothesis tests for the difference between two population means
CHALLENGE 8.1.3: Hypothesis testing for two population means (one-tailed t-test).
ACTIVITY
402.562.2600368.qx3zqy7
Jump to level 1
A sales manager for a large department store believes that customer spending per visit with a sale is lower than
customer spending without a sale, and would like to test that claim. A simple random sample of customer spending is
taken from without a sale and with a sale. The results are shown below.
Without sale with sale
Mean
82.904
71.316
Variance
1984.96
1826.41
Observations
200
150
Hypothesized Mean Difference
0
1 Stat
P(T<=t) one-tail
0.0071
t Critical one-tail
P(T<=t) two-tail
0.0142
t Critical two-tail
-1
6
3
Confidence Level
P = EX 1.234
Samples from without sale: ni
Ex: 9
Samples from with sale: n₂ =
Point estimate for spending without sale: 1 = Ex: 1.234)
Point estimate for spending with sale: ₂
7
O
1
-201
RETIES
Transcribed Image Text:brary EzyBooks catalog Hypothesis tests for the difference between two population means CHALLENGE 8.1.3: Hypothesis testing for two population means (one-tailed t-test). ACTIVITY 402.562.2600368.qx3zqy7 Jump to level 1 A sales manager for a large department store believes that customer spending per visit with a sale is lower than customer spending without a sale, and would like to test that claim. A simple random sample of customer spending is taken from without a sale and with a sale. The results are shown below. Without sale with sale Mean 82.904 71.316 Variance 1984.96 1826.41 Observations 200 150 Hypothesized Mean Difference 0 1 Stat P(T<=t) one-tail 0.0071 t Critical one-tail P(T<=t) two-tail 0.0142 t Critical two-tail -1 6 3 Confidence Level P = EX 1.234 Samples from without sale: ni Ex: 9 Samples from with sale: n₂ = Point estimate for spending without sale: 1 = Ex: 1.234) Point estimate for spending with sale: ₂ 7 O 1 -201 RETIES
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